Staff Machine Learning Engineer (Ad Serving)
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Jun 11, 2026. Roku scores B on the Alion truth index.
Join our team as a Staff Machine Learning Engineer specializing in Ad Serving. In this role, you will translate ambiguous business problems into clear hypotheses and actionable strategies, develop advanced ML models, design and run live experiments, build production-grade ML systems, and partner with cross-functional stakeholders to drive the ML strategy for Ad Serving. You will also provide technical leadership and mentorship in machine learning and applied research best practices.
Missions
- Translate ambiguous business problems into clear hypotheses, measurable objectives, and actionable strategies.
- Develop advanced ML models and research-driven methodologies to drive product innovation and improve business outcomes.
- Design and run live experiments to prototype improvements and validate their effectiveness.
Profil recherché
- Hands-on experience building and deploying ML models in production, including feature engineering, model serving, monitoring, and continuous improvement- Publications in leading peer-reviewed conferences or academic journals are a plus
- Perform as a staff+ technologist on complex, revenue-critical, large-scale distributed ML systems
- Expertise in advertising is a plus
- Solid software engineering skills in languages such as Python, SQL, and Java/Scala
- Deep expertise in statistics, machine learning, and optimization techniques
- Proven track record of leading cross-functional teams and initiatives
- Strong CS fundamentals with the ability to translate ideas into clean, efficient code with ease
- Excellent written and verbal communication and collaboration skills
- 10+ years of industry experience applying machine learning and data science to solve complex, mission-critical real-world problems